SCEJ 55th Autumn Meeting (Sapporo, 2024)
Program search result : Shinshu U. : 21 programs
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Affillations field begins with “Shinshu U.”; 21 programs are found. (“Poster with Flash” presentations are double-counted.)
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| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Day 1 | YB101 | Effect of catalyst support on H2S tolerance in hydrogen production by methane pyrolysis | methane pyrolysis hydrogen production H2S tolerance | SY-63 | 827 |
| Day 1 | YB118 | Effect of MFI zeolite addition for increasing chemical feedstock yields in catalytic cracking of plant lipids | plant lipid catalytic cracking MFI zeolite | SY-63 | 436 |
| Day 1 | YB128 | Construction of yield prediction model in catalytic cracking of vegetable oils considering fatty acid composition | catalytic cracking vegetable oil machine learning | SY-63 | 697 |
| Day 1 | YB131 | Extension of chemical reaction neural network for kinetic model construction of heterogeneous catalyst reactions | chemical reaction neural network kinetic model heterogeneous catalyst | SY-63 | 255 |
| Day 1 | YB152 | Increasing biomass throughput in biomass liquefaction using constrained Bayesian optimization | Bayesian optimization biomass liquefaction solvolysis | SY-63 | 254 |
| Day 1 | YB101 | Effect of catalyst support on H2S tolerance in hydrogen production by methane pyrolysis | methane pyrolysis hydrogen production H2S tolerance | SY-63 | 827 |
| Day 1 | YB131 | Extension of chemical reaction neural network for kinetic model construction of heterogeneous catalyst reactions | chemical reaction neural network kinetic model heterogeneous catalyst | SY-63 | 255 |
| Day 1 | YB118 | Effect of MFI zeolite addition for increasing chemical feedstock yields in catalytic cracking of plant lipids | plant lipid catalytic cracking MFI zeolite | SY-63 | 436 |
| Day 1 | YB128 | Construction of yield prediction model in catalytic cracking of vegetable oils considering fatty acid composition | catalytic cracking vegetable oil machine learning | SY-63 | 697 |
| Day 1 | YB152 | Increasing biomass throughput in biomass liquefaction using constrained Bayesian optimization | Bayesian optimization biomass liquefaction solvolysis | SY-63 | 254 |
| Day 2 | Q201 | Evaluation of the ultrafine bubble stability at high-temperature conditions | Ultrafine bubble Nano bubble Micro bubble | SY-73 | 1015 |
| Day 2 | Q209 | Micronization of silk fibroin by mechanical milling and production of hydrogel by hydrothermal treatment | Silk fibroin Mechanical milling Hydrogel | SY-73 | 632 |
| Day 2 | YB253 | Effect of Flow Channel and Oxygen Utilization on Overpotential in SOFC for Trigeneration System | Solid oxide fuel cell Low oxygen concentration Impedance analysis | SY-75 | 1077 |
| Day 2 | E215 | Analysis of anion selectivity in Mg-based Layered Double Hydroxide using a Universal Neural Network Potential | machine learning layered double hydroxide (LDH) anion selectivity | ST-22 | 732 |
| Day 2 | U217 | Effects of bentonite-coated biochar application on methane emissions from paddy soil | Biochar Rice cultivation Pot experiment | SY-82 | 1103 |
| Day 2 | YB238 | Effect of Mass Transport on Electrode Characteristics of Unsupported Pt Black Electrodes for PEFC | Polymer electrolyte fuel cell Platinum utilization proton conduction | SY-75 | 1075 |
| Day 2 | F218 | Development of a reaction kinetic model of hydrothermal synthesis of formic acid from KHCO3 solution. | CCU alkali bicarbonate chemical absorption | SY-64 | 884 |
| Day 2 | E220 | Development of a product composition prediction model for catalytic cracking reactions and its application to the prediction of reactions with unknown feedstocks | physics-informed machine learning catalytic cracking reaction prediction | ST-22 | 1128 |
| Day 3 | U301 | Effects of gas-liquid flow velocity in a membrane contactor for atmospheric CO2 capture | DAC chemical absorption microporous hollow fiber membrane | SY-82 | 823 |
| Day 3 | Q304 | [Review lecture] Future of the reactions in supercritical water and high-temperature water -Plastics development based on recycling & reaction prediction using natural language processing- | Plastic recycling Machine learning Hydrothermal | SY-73 | 1044 |
| Day 3 | I309 | Prediction of heating value of biochar during pyrolysis processes of biomass | Reaction kinetic model Elemental composition Differential scanning calorimeter | ST-24 | 818 |
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SCEJ 55th Autumn Meeting (Sapporo, 2024)
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